Attribute Mix: Semantic Data Augmentation for Fine Grained Recognition

Attribute Mix: Semantic Data Augmentation for Fine Grained Recognition

6 April 2020

Papers citing "Attribute Mix: Semantic Data Augmentation for Fine Grained Recognition"

10 / 10 papers shown

Title
Semantic Feature Integration network for Fine-grained Visual Classification Haibo Wang Yueyang Li Haichi Luo 42 0 0 13 Feb 2023
A Survey of Mix-based Data Augmentation: Taxonomy, Methods, Applications, and Explainability Chengtai Cao Fan Zhou Yurou Dai Jianping Wang Kunpeng Zhang AAML 26 28 0 21 Dec 2022
ExpNet: A unified network for Expert-Level Classification Junde Wu Huihui Fang Yehui Yang Yu Zhang Haoyi Xiong Huazhu Fu Yanwu Xu 30 0 0 29 Nov 2022
PARTICUL: Part Identification with Confidence measure using Unsupervised Learning Romain Xu-Darme Georges Quénot Zakaria Chihani M. Rousset 19 7 0 27 Jun 2022
Dynamic MLP for Fine-Grained Image Classification by Leveraging Geographical and Temporal Information Lingfeng Yang Xiang Li Renjie Song Borui Zhao J. Tao Shihao Zhou Jiajun Liang Jian Yang 26 37 0 07 Mar 2022
Survey: Image Mixing and Deleting for Data Augmentation Humza Naveed Saeed Anwar Munawar Hayat Kashif Javed Ajmal Mian 40 78 0 13 Jun 2021
Re-rank Coarse Classification with Local Region Enhanced Features for Fine-Grained Image Recognition Shaokang Yang Shuai Liu Cheng Yang Changhu Wang 30 32 0 19 Feb 2021
Center-wise Local Image Mixture For Contrastive Representation Learning Hao Li Xiaopeng Zhang H. Xiong 21 8 0 05 Nov 2020
Multi-Attention Multi-Class Constraint for Fine-grained Image Recognition Ming Sun Yuchen Yuan Feng Zhou Errui Ding 125 350 0 14 Jun 2018
The Application of Two-level Attention Models in Deep Convolutional Neural Network for Fine-grained Image Classification Tianjun Xiao Yichong Xu Kuiyuan Yang Jiaxing Zhang Yuxin Peng Zheng-Wei Zhang 158 789 0 24 Nov 2014